Filippo Di Turi

3B Wilson Warbirds

Age 21 S/R 5'11" / 165 lbs A HR +10%K +6% Svc 0.0 · Ctrl thru 2033

Overview

APROSPECTMiLBFA 2034

OGV OFP35OGV rank#1955ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	A/ROK2 orgs	391	.225/.361/.294	1	10	44	—	.171/.273/.225
2025	19	ACarolina Mudc…	479	.212/.326/.336	10	6	44	—	.170/.256/.248
2026	20	A+/AMIL	436	.190/.357/.275	4	23	46	—	.155/.281/.221
2027PROJMLE	21	MLBMIL	546	.184/.286/.261	5	10	60	-0.2
2028PROJ34% MLB	22	MLBMIL	146	.190/.292/.284	2	3	68	-0.2
2029PROJ48% MLB	23	MLBMIL	233	.197/.298/.303	4	5	75	-0.1

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$1M2032Arb-2$2M2033Arb-3$3M

Skills · percentileMiLB Statcast 2026 A

BB%93

Chase%88

Speed67

K%65

Whiff%35

wOBA34

Career WAR0.0 WAR median (P10 0.0 / P90 0.6, comp-based) · star 0% · didn't stick 95%

CompsJose Perez (age 20) · Noah Miller (age 21) · Riley Unroe (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†60

AVG/OBP/SLG.183 / .284 / .258

PA210

HR2

K%28

BB%12

ISO76

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$4M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$1M	+0.2	$0.6M	+$0.0M (cut)
2032	Arb-2	$2M	+0.2	$0.5M	+$0.0M (cut)
2033	Arb-3	$3M	+0.2	$0.5M	+$0.0M (cut)
Totals		$0.0M		$0.9M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2023	17	ROK	DSL Brewers 2	—	222	181	51	9	2	0	38	32	3	12	8	282	414	354	768	72	342	14	17	359	51	—	—	—	—	—	—
2024	18	A	Carolina Mudcats	—	285	240	46	10	0	0	41	68	2	5	2	192	314	233	548	42	264	24	14	265	24	—	—	—	—	—	—
2024	18	ROK	ACL Brewers	—	106	80	26	5	2	1	23	16	2	5	1	325	486	475	961	150	391	15	22	430	97	—	—	—	—	—	—
2025	19	A	Carolina Mudcats	—	479	405	86	14	3	10	67	126	1	6	8	212	326	336	661	123	276	26	14	302	44	—	—	—	—	—	—
2026	20	A+	Wisconsin Timber Rattlers	—	15	11	2	0	0	0	4	5	0	0	0	182	400	182	582		333	33	27	307	49	—	—	—	—	—	—
2026	20	A	Wilson Warbirds	—	421	331	63	11	3	4	79	90	6	23	7	190	356	278	634	88	244	21	19	303	46	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Brewers 2	—	222	192	35	6	1	0	27	38	3	12	8	182	293	224	517	42	228	17	12	243	51	—	—	—	—	—	—
2024	18	A MLE	Carolina Mudcats	—	285	251	37	8	0	0	30	91	2	5	2	147	244	179	423	32	227	32	11	204	24	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	106	89	21	3	2	1	14	23	2	5	1	236	352	348	701	112	298	22	13	312	97	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	479	424	72	11	2	6	48	166	1	6	8	170	256	248	503	78	251	35	10	233	44	—	—	—	—	—	—
2026	20	A+ MLE	Wisconsin Timber Rattlers	—	15	12	2	0	0	0	3	6	0	0	0	167	333	167	500		315	40	20	240	49	—	—	—	—	—	—
2026	20	A MLE	Wilson Warbirds	—	421	355	55	9	3	3	55	123	6	23	7	155	279	223	501	68	213	29	13	236	46	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 2	—	222	192	35	6	1	0	27	38	3	12	8	182	293	224	517	42	227	17	12	243	51	—	—	—	—	—	—
2023	17	ROK RAW	DSL Brewers 2	—	222	181	51	9	2	0	38	32	3	12	8	282	414	354	768	72	342	14	17	359	51	—	—	—	—	—	—
2024	18	A MLE	2 teams	—	391	340	59	12	2	1	44	114	4	10	3	174	276	229	505	56	254	29	11	233	44	—	—	—	—	—	—
2024	18	A RAW	2 teams	—	391	320	72	15	2	1	64	84	4	10	3	225	361	294	655	69	298	21	16	310	44	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	479	424	72	11	2	6	48	166	1	6	8	170	256	248	503	78	256	35	10	233	44	—	—	—	—	—	—
2025	19	A RAW	Carolina Mudcats	—	479	405	86	14	3	10	67	126	1	6	8	212	326	336	661	123	276	26	14	302	44	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	436	367	57	9	3	3	58	129	6	23	7	155	281	221	501	65	225	30	13	236	46	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	436	342	65	11	3	4	83	95	6	23	7	190	357	275	632	85	246	22	19	303	46	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 2	—	222	190	35	6	1	0	27	38	3	12	8	184	293	226	519	42	228	17	12	243	51	—	—	—	—	—	—
2024	18	A MLE	2 teams	—	391	340	59	12	2	1	44	114	4	10	3	174	276	229	505	56	246	29	11	233	44	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	479	427	72	11	2	6	48	166	1	6	8	169	256	246	502	77	251	35	10	233	44	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	436	369	57	9	3	3	58	129	6	23	7	154	281	220	500	65	217	30	13	236	46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	A MLE	2 teams	—	391	340	59	12	2	1	44	114	4	10	3	174	276	229	505	56	246	29	11	233	44	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	479	427	72	11	2	6	48	166	1	6	8	169	256	246	502	77	251	35	10	233	44	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	436	369	57	9	3	3	58	129	6	23	7	154	281	220	500	65	217	30	13	236	46	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	MIL	0%	546	473	87	15	3	5	64	154	4	10	4	184	286	261	547	76	258	28	12	257	60	-26	+0	-1	+2	+12	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	MIL	34%	425	369	71	12	2	6	50	116	3	9	3	193	294	286	580	93	261	27	12	269	68	-16	+1	-0	+2	+9	-0.5
2029	23	MLB MLE	MIL	48%	480	417	83	14	3	8	56	128	4	10	4	199	300	305	604	105	263	27	12	278	75	-14	+0	+0	+2	+10	-0.2
2030	24	MLB MLE	MIL	53%	516	447	92	16	3	10	60	136	4	10	4	204	303	317	620	113	266	26	12	285	79	-13	+0	+1	+2	+11	0.1
2031	25	MLB MLE	MIL	55%	537	466	97	17	3	11	62	140	4	11	4	207	305	324	630	118	267	26	12	288	81	-12	+1	+1	+2	+12	0.3
2032	26	MLB MLE	MIL	56%	547	476	99	17	3	11	62	141	4	10	4	209	306	329	635	120	268	26	11	290	82	-12	+0	+1	+2	+12	0.4
2033	27	MLB MLE	MIL	55%	547	476	99	17	3	11	62	142	4	10	4	208	305	326	631	118	268	26	11	288	81	-12	+0	+1	+2	+12	0.3
2034	28	MLB MLE	MIL	55%	542	471	98	17	3	11	62	142	4	8	4	206	303	321	625	116	267	26	11	286	80	-13	+0	+0	+2	+12	0.1
2035	29	MLB MLE	MIL	53%	530	461	94	16	3	10	60	140	4	7	4	204	301	315	616	112	266	26	11	282	77	-14	-0	-1	+2	+11	-0.2
2036	30	MLB MLE	MIL	53%	516	449	89	15	2	9	58	138	4	5	3	201	297	308	605	107	264	27	11	278	74	-16	-0	-1	+2	+11	-0.4
2028	22	MLB CTX	MIL	34%	146	127	24	4	1	2	17	40	1	3	1	190	292	284	576	93	257	27	12	268	68	-5	+0	-0	+1	+3	-0.2
2029	23	MLB CTX	MIL	48%	233	202	39	6	1	4	27	62	2	5	2	197	298	303	601	106	259	27	12	277	75	-7	+0	+0	+1	+5	-0.1
2030	24	MLB CTX	MIL	53%	272	236	47	8	1	5	32	71	2	6	2	202	302	316	617	114	262	26	12	283	79	-7	+0	+0	+1	+6	0.1
2031	25	MLB CTX	MIL	55%	294	256	52	8	2	6	34	76	2	6	2	205	303	323	627	119	263	26	12	287	81	-7	+0	+0	+1	+6	0.2
2032	26	MLB CTX	MIL	56%	304	264	56	9	2	7	35	78	2	6	2	207	304	328	632	121	264	26	12	289	82	-6	+0	+0	+1	+7	0.2
2033	27	MLB CTX	MIL	55%	301	262	54	9	2	6	34	78	2	6	2	206	303	325	628	119	264	26	11	287	81	-7	+0	+0	+1	+7	0.2
2034	28	MLB CTX	MIL	55%	296	258	52	9	1	6	34	78	2	5	2	204	301	320	622	116	263	26	11	285	80	-7	+0	+0	+1	+6	0.1
2035	29	MLB CTX	MIL	53%	283	247	50	8	1	6	32	75	2	4	2	202	299	314	613	113	262	27	11	281	77	-8	+0	-0	+1	+6	-0.1
2036	30	MLB CTX	MIL	53%	271	236	47	8	1	5	31	73	2	3	2	199	295	306	602	108	260	27	11	277	74	-8	-0	-1	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2400	2088	421	69	12	47	276	631	17	44	17	202	300	314	614	112	263	26	12	283	69	-62	+2	+1	+9	+52	0.1
/ 162G	—	A+C		—	650	566	114	19	3	13	75	171	5	12	5	201	301	314	615	113	262	26	12	283	69	-17	+1	+0	+2	+14	0.0
Career	—	MLE		—	6378	5537	1079	185	34	99	733	1729	51	135	62	195	295	294	589	99	261	27	11	271	69	-132	+2	+1	+17	+105	-0.7
/ 162G	—	MLE		—	650	564	110	19	3	10	75	176	5	14	6	195	295	293	588	98	262	27	12	271	69	-18	+0	+0	+2	+14	-0.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AWilson Warbirds · 421 PAwOBA .300 → .236 (−64)K% 21.4% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.38%	÷1.000	×1.360	—	—	29.07%
BB% (unintentional) /PA	18.76%	÷1.000	×0.690	—	×1.015	13.14%
HBP% /PA	1.43%	—	×0.780	—	×1.015	1.13%
Singles /BIP	18.67%	÷1.000	×0.920	×0.958	×1.015	16.70%
Doubles /BIP	4.56%	÷1.000	×0.830	×0.958	×1.015	3.68%
Triples /BIP	1.24%	÷1.000	×0.910	×0.958	×1.015	1.10%
Home runs /BIP	1.66%	÷1.000	×0.800	—	×1.015	1.35%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .300 → .236; ISO .088 → .072; BABIP .244 → .213. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+Wisconsin Timber Rattlers · 15 PAwOBA .301 → .240 (−61)K% 33.3% → 42.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.000	×1.270	—	—	42.33%
BB% (unintentional) /PA	26.67%	÷1.000	×0.710	—	×1.027	19.44%
HBP% /PA	0.00%	—	×0.790	—	×1.027	0.00%
Singles /BIP	33.33%	÷1.000	×0.920	—	×1.027	31.49%
Doubles /BIP	0.00%	÷1.000	×0.810	—	×1.027	0.00%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.027	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .301 → .240; ISO .000 → .000; BABIP .333 → .315. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ACarolina Mudcats · 479 PAwOBA .297 → .233 (−64)K% 26.3% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.30%	÷1.033	×1.360	—	—	34.65%
BB% (unintentional) /PA	13.78%	÷0.981	×0.690	—	×1.030	9.98%
HBP% /PA	0.21%	—	×0.780	—	×1.030	0.17%
Singles /BIP	21.15%	÷0.948	×0.920	×0.952	×1.030	20.11%
Doubles /BIP	5.02%	÷1.002	×0.830	×0.952	×1.030	4.07%
Triples /BIP	1.08%	÷1.150	×0.910	×0.952	×1.030	0.83%
Home runs /BIP	3.58%	÷1.214	×0.800	—	×1.030	2.43%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 90, 2B 100, 3B 130, K 107, BB 96 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .297 → .233; ISO .123 → .085; BABIP .276 → .251. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ACarolina Mudcats · 285 PAwOBA .261 → .204 (−57)K% 23.9% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.86%	÷1.013	×1.360	—	—	32.05%
BB% (unintentional) /PA	14.39%	÷0.980	×0.690	—	×1.045	10.59%
HBP% /PA	0.70%	—	×0.780	—	×1.045	0.57%
Singles /BIP	20.93%	÷1.066	×0.920	×0.951	×1.045	17.96%
Doubles /BIP	5.81%	÷0.962	×0.830	×0.951	×1.045	4.98%
Triples /BIP	0.00%	÷1.007	×0.910	×0.951	×1.045	0.00%
Home runs /BIP	0.00%	÷1.101	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 113, 2B 92, 3B 101, K 103, BB 96 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .261 → .204; ISO .042 → .034; BABIP .264 → .227. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ROKACL Brewers · 106 PAwOBA .421 → .312 (−110)K% 15.1% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.09%	÷1.002	×1.440	—	—	21.69%
BB% (unintentional) /PA	20.75%	÷1.014	×0.620	—	×1.008	12.79%
HBP% /PA	1.89%	—	×0.720	—	×1.008	1.37%
Singles /BIP	28.12%	÷1.015	×0.820	×0.973	×1.008	22.29%
Doubles /BIP	7.81%	÷1.088	×0.720	×0.973	×1.008	5.07%
Triples /BIP	3.12%	÷0.900	×0.720	×0.973	×1.008	2.45%
Home runs /BIP	1.56%	÷0.947	×0.780	—	×1.008	1.30%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 103, 2B 118, 3B 80, K 100, BB 103 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .421 → .312; ISO .150 → .118; BABIP .391 → .298. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Brewers 2 · 222 PAwOBA .351 → .243 (−108)K% 14.4% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.41%	÷1.023	×1.220	—	—	17.20%
BB% (unintentional) /PA	17.12%	÷0.996	×0.700	—	×1.008	12.12%
HBP% /PA	1.35%	—	×0.700	—	×1.008	0.95%
Singles /BIP	26.85%	÷1.008	×0.680	×1.004	×1.008	18.31%
Doubles /BIP	6.04%	÷0.986	×0.600	×1.004	×1.008	3.72%
Triples /BIP	1.34%	÷1.125	×0.600	×1.004	×1.008	0.72%
Home runs /BIP	0.00%	÷1.904	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 281, 1B 102, 2B 97, 3B 125, K 105, BB 99 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .351 → .243; ISO .072 → .044; BABIP .342 → .228. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,610	48	45	203	298	314	+26	+0	3.0	3.0
/162	664	12	12	+6.7	+0.0	0.8	pk7: 3
#3Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5Steve Jeltz'83-'90 * career totals — 7 seasons, 2,041 PA	3.1	2,041	5	18	209*	308*	287*	+19	-7	-0.9	-0.5
/162	664	2	6	+6.1	-2.1	-0.3	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Filippo Di Turi (OGILVIE)	21	—	—	—	—	183/284/258	76	258	2	4	28%	12%	60	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Perez 2024 · A	20	39	38→40	45	60	185/303/270	86	239	4	7	22%	13%	70	-0.9	192/299/267	75	259	4	6	24%	12%	67	-1.1	184/302/248	64	242	3	5	22%	13%	61	-0.6
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Riley Unroe 2017 · A	21	42→47	36→45	46→55	44	199/262/261	62	279	4	12	29%	7%	50	-2.3	203/271/281	78	291	6	12	30%	8%	58	-1.7	218/301/329	112	292	11	26	27%	10%	78	-0.1
✕Allan Castro 2024 · A	21	42→45	42→45	52→50	47	205/277/316	111	276	7	12	27%	8%	69	-0.9	213/282/329	116	284	11	15	27%	8%	74	-0.6	212/279/324	113	274	12	17	26%	8%	69	-0.7
✕Juan Mosquera 2009 · A	21	41	33→30	46→55	54	187/287/229	41	257	1	14	25%	11%	54	-2.0	199/263/256	57	258	2	9	22%	7%	49	-2.4	181/239/208	28	219	0	9	16%	7%	26	-1.0
✕Angelo Mora 2014 · A	21	41→51	36→45	48→45	41	198/241/266	68	262	4	13	26%	5%	42	-2.9	228/270/315	87	306	4	6	25%	5%	64	-1.3	259/294/363	103	333	5	4	23%	4%	81	-0.0
✕Carlos Rodriguez 2024 · A	21	40	38→45	48→45	46	192/271/267	75	284	6	7	32%	9%	55	-1.9	191/263/273	82	291	6	4	33%	8%	53	-2.1	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Arquímedes Gamboa 2019 · A	21	43→44	37→40	48→50	45	203/266/276	74	281	5	7	28%	8%	55	-1.9	190/267/267	77	281	5	14	31%	9%	54	-2.0	202/287/292	90	293	7	15	31%	10%	64	-0.7
✕Imanol Vargas 2019 · A	21	39→43	38→50	44→45	55	184/287/262	78	251	5	9	26%	12%	61	-1.5	200/279/332	132	299	14	7	35%	9%	74	-0.6	198/285/355	157	311	19	2	39%	10%	79	-0.2
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1
✕Terry Serrano 2008 · A	21	37	34→30	46→55	52	174/257/221	47	222	2	13	21%	9%	40	-3.1	196/270/261	65	283	2	16	29%	9%	53	-2.1	194/273/260	66	296	2	22	32%	9%	52	-0.8
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Alejandro Flores 2017 · AAA	21	40	38→50	46→40	44	192/263/272	80	288	6	9	33%	8%	53	-2.1	212/268/333	121	295	10	6	30%	6%	69	-0.9	206/261/337	132	279	11	4	29%	6%	64	-0.6
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Rosell Herrera 2013 · A	20	40→50	37→45	48→55	42	193/245/268	75	263	5	9	28%	6%	45	-2.7	238/286/328	90	316	8	10	26%	6%	74	-0.6	253/308/344	91	321	4	24	21%	7%	84	+0.1
✕Milkar Perez 2023 · A	21	41	34→40	44→40	52	185/288/234	50	289	2	4	33%	12%	55	-1.9	211/291/289	78	317	4	3	31%	9%	68	-1.0	211/289/291	80	310	4	2	30%	9%	66	-0.7
✕Dalfis Ortiz 2013 · A	21	44	35→40	43→55	52	203/285/265	61	276	2	10	25%	10%	60	-1.6	200/265/273	73	242	2	14	17%	8%	53	-2.1	210/273/300	89	245	1	18	14%	8%	63	-0.5
✕Juan Mora 2021 · A	21	40	39→45	53→55	52	192/277/280	88	229	6	14	19%	8%	61	-1.5	221/287/329	108	296	9	10	27%	6%	75	-0.5	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Colin Walsh 2011 · A	21	44→52	40→45	53→50	52	213/295/309	95	271	8	10	23%	10%	74	-0.6	224/297/348	124	275	11	8	21%	9%	84	+0.1	214/321/331	117	302	10	7	29%	13%	87	+0.3
✕Josh Johnson 2007 · A	21	47→50	37→45	49→50	57	219/312/297	78	279	4	11	21%	12%	78	-0.3	223/307/291	68	293	3	10	22%	11%	74	-0.5	247/316/346	99	293	8	16	17%	9%	86	+0.2

Filippo Di Turi

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps